Showing posts with label NSE4 Test Questions. Show all posts
Showing posts with label NSE4 Test Questions. Show all posts

Thursday, February 14, 2019

Securing the Widening Attack Surface of Healthcare Today - Fortinet CertificationS


The Problem of Data


Medical patient records are at an all-time high valuation on the Dark Web. As we all know, healthcare records are different because of the permanence of the data. This gives cybercriminals plenty of time to use patient information for financial gain, such as selling complete ID theft packages, using plastic surgery details for ransom, or socially engineering individuals for further attack.

But there are other potential uses that get more interesting and have potentially deeper ramifications.

We are experiencing an increase of medical costs and a challenge to find readily available, top-quality healthcare for patients with lower income or minimal healthcare plans. With this in mind, patient records could be used to obtain healthcare with a false recipient masquerading as a valid patient. The false recipient can immediately remit supplemental costs such as copays for treatment and medications, thus stealthily leveraging the health plan to obtain the desired healthcare. Valid patients might not notice the fraud, particularly if they have relatively constant care events that bury illegal periodic usage in the resulting flurry of associated billing and resolution notifications. The loss would be passed to the insurance company or government assistance program, negatively impacting all participants.

A darker side to this same potential issue lies in the fact that patient data is becoming more transportable and shared among medical professionals. Now imagine that same false recipient being treated for what might seem to be a somewhat medically mundane condition, such as hyperglycemia. If the valid patient gets involved in a car accident their emergency care could be changed to accommodate the false recipient’s current suite of treatments due to this shared pool of information. It creates an unexpected consequence to the valid patient as a result of the false recipient’s data being used to provide incorrect treatment to the valid patient. Ironically, the same thing could happen in reverse. The false recipient could receive incorrect care as well, with similar potential legal ramification.

The Widening, Thinning Attack Surface


Organizations used to rely on a handful of primary technologies that were deeply deployed. Imagine these dozen or so technologies as rather tall cylinders. The top surface areas are relatively confined, which we can imagine as representing the attack surface for this exercise.

Now imagine adding more technologies. Cloud is an excellent example. We will implement a cloud instance, but only use it for a piece of our business we don’t care too much about…possibly a non-critical data manipulation system. Now we have two architectures where there used to be one. Now another solution is embraced, such as a hybrid public/private cloud, and we throw some critical operations in that so they can be more closely monitored. Now we have three architectures where there was one. We add a few business partner clouds, shuffle some regulatory pieces to new cloud implementations, and now we have several infrastructures where there was once a single one.  Our attack surface has thinned out and become much broader. We are more susceptible to attack.

Here is another example. Healthcare organizations, particularly hospitals, are heavy users of IoT devices. Devices allow patients to be remotely monitored and treated using implanted devices. Inside the hospital, a wide range of IoT devices are connected and freely communicating to the hospital staff, medical records and scheduling systems, and other pieces of the patient care puzzle. IoT device vendors and manufacturers are also in communication with the devices, creating an ever-widening attack surface. The surety and safety of a device’s operations is entirely dependent on how it was developed and tested, creating potential exposure. Was security integrated throughout development or simply bolted on prior to deployment into customer environments? With a thinning attack surface, the ramifications are clearly apparent.

Now we can add virtualization and the impact of it to our ever broadening, thinning attack surface. We stand up and tear down server environments at a whim, or use SD-WAN and micro segmentation to create smaller subnetworks to suit regulatory or operational needs. Applications are also used only when needed, often residing outside of our infrastructure with associated data repositories potentially located anywhere on the planet.

Digital transformation provides the fastest method of responding to business and customer needs, but the individual methods and technologies used to gain that advantage also cause our attack surface to expand.

Think of contained infrastructure as a bucket of oil. We can readily define the edges providing containment. Now think of that bucket of oil poured on a large body of water. While doing something like that is simply terrible from an ecological perspective, it is a good analogy for what happens when we adopt a wider range of disparate technologies that we actually deploy less of on a per-technology basis.

The attack surface expands and gets thinner. The technology cylinders we described earlier get flatter and wider. We have a harder time defining the edges. Identifying and managing attacks becomes more difficult.

Disparate Technology, Shrinking Resources


The number of security professionals in the workforce is at an all-time high. Unfortunately, a large reason for this is due for the high demand, which caused a large influx of relatively inexperienced resources to enter the security profession. It is still difficult to locate, hire, and retain highly competent technical security talent. That in and of itself is certainly an issue, but not necessarily the core problem.

The true cause of concern is largely due to disparate security systems. We often look for best-of-breed instead of best-of-need security implementations. While the latest and greatest might appear to be the panacea of our sleepless nights, we often find ourselves with larger operational support issues as a result of spending on these new single security tools. We have more disparate technologies than we can reasonably manage, and getting a unified status or view of what we are trying to protect is almost impossible.

A Logical Approach


Security professionals cannot continue to increase operational security complexity in hopes of containing consequence. This simply mirrors the very cause of the problem. Adding disjointed security technologies that result in knowledge and awareness gaps actually copying the root cause of our challenges. We also waste our scarce and valuable technical security resources trying to remedy the situation – that we basically created!  

Viable security management requires the focused use of advanced capabilities such as completely integrated controls management, automated known and unknown threat response, tools that perform according to spec and are independently validated, and the ability to integrate security solutions. If we are to be successful, the complexity of the protected asset base must be operationally simplified from the security perspective. 

The ability to create the capability to outpace cybercriminal efforts can be realized with a security architecture capable of providing end-to-end visibility, rapid threat intelligence sharing, and simplified policy enforcement throughout a wide range of architectural domains. These types of capabilities, coupled with greater speed to detect, analyze, and resolve attacks, have never been more critical for protecting infrastructure and information and our success as security professionals.

Look for technical security solutions that can easily communicate between themselves and provide an accurate, focused view into the operational environment. Solutions that readily integrate with the critical security capabilities, tools, and services your organization requires to stay competitive. Solutions that provide a readily expandable fabric approach to secure the ever-broadening attack surface, delivering instant scaling capabilities.

Our security challenges are as daunting as ever. A truly effective security strategy for today’s CISO must be based on a truly integrated security portfolio that has the flexibility to adapt to the ever increasing complexity of today’s IT environment and very determined cybercriminals. 

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Sunday, December 2, 2018

Cyber Adversaries Fortinet Predicts Organizations Will Employ More Automation To Combat Threats


Cyberattacks Will Become Smarter and More Sophisticated


For many criminal organizations, attack techniques are evaluated not only in terms of their effectiveness, but in the overhead required to develop, modify, and implement them. As a result, many of their attack strategies can be interrupted by addressing the economic model employed by cybercriminals. Strategic changes to people, processes, and technologies can force some cybercriminal organizations to rethink the financial value of targeting certain organizations. One way that organizations are doing this is by adopting new technologies and strategies such as machine learning and automation to take on tedious and time-consuming activities that normally require a high degree of human supervision and intervention. These newer defensive strategies are likely to impact cybercriminal strategies, causing them to shift attack methods and accelerate their own development efforts. In an effort to adapt to the increased use of machine learning and automation, we predict that the cybercriminal community is likely to adopt the following strategies, which the cybersecurity industry as a whole, will need to closely follow.


  • Artificial Intelligence Fuzzing (AIF) and Vulnerabilities: Fuzzing has traditionally been a sophisticated technique used in lab environments by professional threat researchers to discover vulnerabilities in hardware and software interfaces and applications. They do this by injecting invalid, unexpected, or semi-random data into an interface or program and then monitoring for events such as crashes, undocumented jumps to debug routines, failing code assertions, and potential memory leaks. Historically, this technique has been limited to a handful of highly skilled engineers working in lab environments. However, as machine learning models are applied to this process we predict that this technique will not only become more efficient and tailored, but available to a wider range of less technical individuals. As cybercriminals begin to leverage machine learning to develop automated fuzzing programs they will be able to accelerate the process of discovering zero-day vulnerabilities, which will lead to an increase in zero-day attacks targeting different programs and platforms.
  • Zero-Day Mining Using AIF: Once AIF is in place, it can be pointed at code within a controlled environment to mine for zero-day exploits. This will significantly accelerate the rate at which zero-day exploits are developed. Once this process becomes streamlined, zero-day mining-as-a-service will become enabled, creating customized attacks for individual targets. This will change how organizations will need to approach security as there will be no way to anticipate where these zero-days will appear, nor how to properly defend against them. This will be especially challenging when using the isolated legacy security tools which many organizations have deployed in their networks today.
  • The “Price” of Zero-Days: Historically, the price of zero-day exploits has been quite high, primarily because of the time, effort, and skill required to uncover them. But as AI technology is applied over time, such exploits will shift from being extremely rare to becoming a commodity. We have already witnessed the commoditization of more traditional exploits, such as ransomware and botnets, and the results have pushed many traditional security solutions to their limits. The acceleration in the number and variety of available vulnerabilities and exploits, including the ability to quickly produce zero-day exploits and provide them as a service, will also impact the types and costs of services available on the dark web.
  • Swarm-as-a-Service: Significant advances in sophisticated attacks powered by swarm-based intelligence technology is bringing us closer to a reality of swarm-based botnets known as hivenets. This emerging generation of threats will be used to create large swarms of intelligent bots that can operate collaboratively and autonomously. These swarm networks will not only raise the bar in terms of the technologies needed to defend organizations, but like zero-day mining, they will also have an impact on the underlying cybercriminal business model. Ultimately, as exploit technologies and attack methodologies evolve, their most significant impact will be on the business models employed by the cybercriminal community.
  • Currently, the criminal ecosystem is very people-driven. Some professional hackers for hire build custom exploits for a fee, and even new advances such as Ransomware-as-a-Service requires black hat engineers to stand up different resources, such as building and testing exploits and managing back-end C2 servers. But when delivering autonomous, self-learning Swarms-as-a-Service, the amount of direct interaction between a hacker-customer and a black hat entrepreneur will drop dramatically.
  • A-la-Carte Swarms: The ability to subdivide a swarm into different tasks to achieve a desired outcome is very similar to the way the world has moved towards virtualization. In a virtualized network, resources can spin up or spin down VMs based entirely on the need to address particular issues such as bandwidth. Likewise, resources in a swarm network could be allocated or reallocated to address specific challenges encountered in an attack chain. A swarm that criminal entrepreneurs have already preprogrammed with a range of analysis tools and exploits, combined with self-learning protocols that allow them to work as a group to refine their attack protocols, makes purchasing an attack for cybercriminals as simple as selecting from an a-la-carte menu.
  • Poisoning Machine Learning: Machine learning is one of the most promising tools in the defensive security toolkit. Security devices and systems can be trained to perform specific tasks autonomously, such as baselining behaviors, applying behavioral analytics to identify sophisticated threats, or tracking and patching devices. Unfortunately, this process can also be exploited by cyber adversaries. By targeting the machine learning process, cybercriminals will be able to train devices or systems to not apply patches or updates to a particular device, to ignore specific types of applications or behaviors, or to not log specific traffic to evade detection. This will have an important evolutionary impact on the future of machine learning and AI technology.

Defenses Will Become More Sophisticated


To counteract these developments, organizations will need to continue to raise the bar for cybercriminals. Each of the following defensive strategies will have an impact on cybercriminal organizations, forcing them to change tactics, modify attacks, and develop new ways to assess opportunities. The cost of launching their attacks will escalate, requiring criminal developers to either spend more resources for the same result, or find a more accessible network to exploit.


  1. Advanced Deception Tactics: Integrating deception techniques into security strategies to introduce network variations built around false information will force attackers to continually validate their threat intelligence, expend time and resources to detect false positives, and ensure that the networked resources they can see are actually legitimate. And since any attacks on false network resources can be immediately detected, automatically triggering countermeasures, attackers will have to be extremely cautious performing even basic tactics such as probing the network.
  2. Unified Open Collaboration: One of the easiest ways for a cybercriminal to maximize investment in an existing attack and possibly evade detection is to simply make a minor change, even something as basic as changing an IP address. An effective way to keep up with such changes is by actively sharing threat intelligence. Continuously updated threat intelligence allows security vendors, and their customers, to stay abreast of the latest threat landscape. Open collaboration efforts between threat research organizations, industry alliances, security manufacturers, and law enforcement agencies will significantly shorten the time to detect new threats by exposing and sharing the tactics used by attackers. Rather than only being responsive, however, applying behavioral analytics to live data feeds through open collaboration will enable defenders to predict the behavior of malware, thereby circumventing the current model used by cybercriminals to repeatedly leverage existing malware by making minor changes.

Speed, Integration, and Automation Are Critical Cybersecurity Fundamentals


There is no future defense strategy involving automation or machine learning without a means to collect, process, and act on threat information in an integrated manner to produce an intelligent response. To contend with the growing sophistication of threats, organizations must integrate all security elements into a security fabric to find and respond to threats at speed and scale. Advanced threat intelligence correlated and shared across all security elements needs to be automated to shrink the necessary windows of detection and to provide quick remediation. Integration of point products deployed across the distributed network, combined with strategic segmentation, will significantly help fight the increasingly intelligent and automated nature of attacks.

Monday, October 22, 2018

Fortinet Exam NSE4 Dumps - FortiGate Network Security Professional

How I Passed Network Security Professional NSE4 Exam using VCEEXAMSTEST | NSE4 Practice Test and Training Material



NSE4 Exam Description

The NSE4 – Network Security Professional designation recognizes your ability to install and manage the day-to-day configuration, monitoring, and operation of a FortiGate device to support specific corporate network security policies.

NSE4 certification based on FortiGate Security and FortiGate Infrastructure courses are highly recommended to prepare you for the Fortinet NSE4 – FortiOS 5.6 and Fortinet NSE4 - FortiOS 6.0 exams.

Fortinet NSE4 Exam Requirements

There are presently two versions of the NSE4 exam:

  • Exam code: NSE4_FGT-6.0
  • Exam name: Fortinet NSE4 – FortiOS 6.0
  • Comments: Corresponds to FortiGate Security and FortiGate Infrastructure courses, product version 6.0.
  • Exam code: NSE4_FGT-5.6
  • Exam name: Fortinet NSE4 – FortiOS 5.6
  • Comments: Corresponds to FortiGate Security and FortiGate Infrastructure courses, product version 5.6.2.

Who Should Attempt the NSE4 Certification Exam?

Network and security professionals involved in the day-to-day management, implementation, and administration of a security infrastructure using FortiGate devices.

Certification
NSE4 certification is achieved upon passing the NSE4 exam. The NSE4 certification is valid for 2 years.

Recertification
Obtaining NSE7 certification automatically renews a candidate’s NSE4 certification, if their NSE4 certification has not expired
Obtaining NSE8 certification automatically renews a candidate’s NSE4 certification, even if their NSE4 certification has expired.

About the NSE4 Exams

  • Language: English and Japanese
  • Number of items on FortiOS 5.6 exam: 70
  • Time allowed to complete: 120 minutes total test time
  • Scoring Method: Answers must be 100% correct for credit; there is no partial credit given. There are no deductions for incorrect answers
  • Type of questions: Multiple Choice, Multiple Select
  • Time required between attempts: 15 days
  • Transcript and Certificate: Upon passing the exam, your Fortinet NSE Institute transcript will be updated within five business days and you will be able to download a printable certificate from the NSE Institute

Fortinet NSE4 Exam Preparation Resource Guide

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How to Pass Fortinet NSE4 Exam in first Attempt?